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Conclusions 2001
Data
The data for the summer and fall was compiled and
analyzed in several different ways. We totaled the
number of animals caught in each location, as well as
the total biomass (grams) in each location. Sleepy
Creek in the summer, which is an area closed to trawling,
yielded the largest catch, while the Straits, an area
open to trawling, yielded the smallest
catch.
We also totaled the number of each species caught in
each location. Pinfish were the most frequently
caught species in Sleepy Creek in the fall, Midden's
Creek (open to trawling) in the fall, and Midden's Creek
(closed to trawling) in the fall. Shrimp was the
most frequently caught species in Sleepy Creek in the
summer. Silverside, a small minnow, was the most
frequently caught species in Midden's Creek (open to
trawling) in the summer. The most frequently
caught species in the Straits in the summer and fall was
arrow shrimp, a small inedible shrimp.
Dr. Bill Kirby-Smith, a professor at Duke University
Marine Laboratory, visited our class as a guest instructor,
and taught us about analyzing data using a t-test, which
analyzes the difference between two means. First,
we took part in a simulation using beans to represent
two populations of fish. We used a t-test to
determine if there was a statistical difference between the
two populations.
Next, we applied this same technique to some of our
data. As a class, we asked the question whether there
was a significant difference between the number of
shrimp caught in Sleepy Creek in the summer, and the
number of shrimp caught in Straits in the summer.
Sleepy Creek is closed to trawling, and Straits is open
to trawling. Trawling is one of the common methods
used by commercial fishermen to catch shrimp. The null hypothesis was that there is no difference.
Most of us hypothesized that more shrimp were caught in
Sleepy Creek based on the numbers caught. We were
surprised when the results of the t-test showed that
statistically there is no difference between the numbers
of shrimp caught at each site. The critical value
for our test was 2.306. Any number above this
value would cause us to reject the null
hypothesis. Our t-value for this test was 2.23,
thus we were not able to reject the null
hypothesis. In other words, statistically, there
is no difference between the number of shrimp caught in
Sleepy Creek and Straits.
We realize that it would be very difficult to answer the
question, "How does trawling affect the
estuaries?", however, this project has given us a
glimpse of how scientists work. There are many
variables that must be controlled for when conducting a
study in the natural world, and our project has not
controlled for these variables. However, this project
has helped us realize that science plays an important
role in helping to resolve conflicts between different
groups struggling to use the same resources.
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